Underestimation of risk for large babies in rural and remote Australia: Time to change plasma glucose collection protocols.
Underestimation of risk for large babies in rural and remote Australia: Time to change plasma glucose collection protocols.
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低估澳大利亚农村和偏远地区大婴儿的风险:是时候改变血糖采集方案了
DOI:
10.1016/j.jcte.2020.100247
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发表时间:
2021-03
影响因子:
3
通讯作者:
Marley JV
中科院分区:
文献类型:
--
作者:
Jamieson EL;Spry EP;Kirke AB;Roxburgh C;Atkinson DN;Marley JV
In remote Australia, many women with GDM are missed due to test sample instability. FC tubes stabilise glucose but markedly increase GDM diagnosis in lower-risk women. Adjustment of FC results lowered GDM and improved risk-assessment for a large baby. Preanalytical glycolysis in oral glucose tolerance tests (OGTT) leads to substantial underestimation of gestational diabetes mellitus (GDM) and hence risk for large-for-gestational-age (LGA) babies. This paper quantified the impact of glycolysis on identification of LGA risk in a prospective rural and remote Australian cohort. For 495 women, OGTT results from room temperature fluoride-oxalate (FLOX) tubes were algorithmically corrected for estimated glycolysis compared to 1) the Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study protocol (FLOX tubes in ice-slurry); and 2) room temperature fluoride-citrate (FC) tubes. GDM was defined by International Association of the Diabetes and Pregnancy Study Groups (IADPSG) criteria. Unadjusted and corrected OGTT were related to LGA outcome. Correction for FC tubes increased GDM incidence from 9.7% to 44.6%. After correction for HAPO protocol, GDM incidence was 27.7% and prediction of LGA risk (RR 1.82, [1.11–2.99]) improved compared to unadjusted rates (RR 1.12, [0.51–2.47]). To provide similar results for FC tube correction (29.3% GDM; RR 1.81, [1.11–2.96]) required + 0.2 mmol/L adjustment of IADPSG criteria. FC tubes present a practical alternative to the HAPO protocol in remote settings but give + 0.2 mmol/L higher glucose readings. Modification of IADPSG criteria would reduce perceived ‘overdiagnosis’ and improve LGA risk-assessment.
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影响因子:
3.9
作者:
Bogdanet D;O'Shea P;Lyons C;Shafat A;Dunne F
通讯作者:
Dunne F
影响因子:
3.1
作者:
Berntorp K;Anderberg E;Claesson R;Ignell C;Källén K
通讯作者:
Källén K
DOI:
10.1111/j.1471-0528.2009.02486.x
发表时间:
2010-04-01
影响因子:
5.8
作者:
Metzger, B. E.
通讯作者:
Metzger, B. E.
影响因子:
5.8
作者:
Retnakaran, Ravi;Qi, Ying;Zinman, Bernard
通讯作者:
Zinman, Bernard
影响因子:
158.5
作者:
Crowther, CA;Hiller, JE;Robinson, JS
通讯作者:
Robinson, JS